Original Research

Published on 08 Mar 2023

Maximum likelihood-based estimation of diffusion coefficient is quick and reliable method for analyzing estradiol actions on surface receptor movements

Geza Makkai
Istvan M. Abraham
Klaudia Barabas
Soma Godo
David Ernszt
Tamas Kovacs
Gergely Kovacs
Szilard Szocs
Tibor Z. Janosi

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.1005936

3,723 views
1 citation

Methods

Published on 02 Mar 2023

An accessible and versatile deep learning-based sleep stage classifier

Jevri Hanna
Agnes Flöel

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.1086634

6,508 views
3 citations

Editorial

Published on 28 Feb 2023

Editorial: Machine learning methods for human brain imaging

Fatos Tunay Yarman Vural
Sharlene D. Newman
Tolga Çukur
Itır Önal Ertugrul

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.1154835

4,548 views

Original Research

Published on 23 Feb 2023

A systematic comparison of deep learning methods for EEG time series analysis

Dominik Walther
Johannes Viehweg
Jens Haueisen
Patrick Mäder

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.1067095

9,837 views
11 citations

Original Research

Published on 17 Feb 2023

RETRACTED: NeuroSuites: An online platform for running neuroscience, statistical, and machine learning tools

José Luis Moreno-Rodríguez
Pedro Larrañaga
Concha Bielza

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.1092967

6,260 views

Original Research

Published on 16 Feb 2023

Improving the brain image resolution of generalized q-sampling MRI revealed by a three-dimensional CNN-based method

Chun-Yuan Shin
Yi-Ping Chao
Li-Wei Kuo
Yi-Peng Eve Chang
Jun-Cheng Weng

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.956600

6,417 views
1 citation

Original Research

Published on 16 Feb 2023

A study on the clusterability of latent representations in image pipelines

Adrian Wheeldon
Alexander Serb

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.1074653

6,876 views

Original Research

Published on 10 Feb 2023

Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST

Felix Johannes Schmitt
Vahid Rostami
Martin Paul Nawrot

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.941696

6,859 views
2 citations

Original Research

Published on 02 Feb 2023

A parameter-optimization framework for neural decoding systems

Jing Xie
Rong Chen
Shuvra S. Bhattacharyya

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.938689

5,856 views

Original Research

Published on 02 Feb 2023

Video-based marker-free tracking and multi-scale analysis of mouse locomotor activity and behavioral aspects in an open field arena: A perspective approach to the quantification of complex gait disturbances associated with Alzheimer's disease

Mikhail Bogachev
Aleksandr Sinitca
Konstantin Grigarevichius
Nikita Pyko
Asya Lyanova
Margarita Tsygankova
Eldar Davletshin
Konstantin Petrov
Tatyana Ageeva
Svetlana Pyko

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.1101112

9,130 views
6 citations

Original Research

Published on 25 Jan 2023

Fireworks explosion boosted Harris Hawks optimization for numerical optimization: Case of classifying the severity of COVID-19

Mingjing Wang
Long Chen
Ali Asghar Heidari
Huiling Chen

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.1055241

5,512 views

Original Research

Published on 23 Jan 2023

An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms

Ruyi Dong
Junjie Du
Yanan Liu
Ali Asghar Heidari
Huiling Chen

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.1096053

8,347 views
4 citations

Technology and Code

Published on 19 Jan 2023

Robin’s Viewer: Using deep-learning predictions to assist EEG annotation

Robin Weiler
Marina Diachenko
Erika L. Juarez-Martinez
Arthur-Ervin Avramiea
Peter Bloem
Klaus Linkenkaer-Hansen

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.1025847

3,171 views
3 citations

Original Research

Published on 18 Jan 2023

2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data

Jon André Ottesen
Darvin Yi
Elizabeth Tong
Michael Iv
Anna Latysheva
Cathrine Saxhaug
Kari Dolven Jacobsen
Åslaug Helland
Kyrre Eeg Emblem
Daniel L. Rubin

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.1056068

7,783 views
14 citations

Original Research

Published on 16 Jan 2023

bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease

Yupeng Li
Dong Zhao
Zhangze Xu
Ali Asghar Heidari
Huiling Chen
Xinyu Jiang
Zhifang Liu
Mengmeng Wang
Qiongyan Zhou
Suling Xu

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.1063048

5,532 views
8 citations

Methods

Published on 13 Jan 2023

Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients

Ting Peng
Leping Liu
Feiyang Liu
Liang Ding
Jing Liu
Han Zhou
Chong Liu

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.1063610

5,628 views
1 citation

Navigation group

Articles

Maximum likelihood-based estimation of diffusion coefficient is quick and reliable method for analyzing estradiol actions on surface receptor movements

An accessible and versatile deep learning-based sleep stage classifier

Editorial: Machine learning methods for human brain imaging

A systematic comparison of deep learning methods for EEG time series analysis

RETRACTED: NeuroSuites: An online platform for running neuroscience, statistical, and machine learning tools

Improving the brain image resolution of generalized q-sampling MRI revealed by a three-dimensional CNN-based method

A study on the clusterability of latent representations in image pipelines

Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST

A parameter-optimization framework for neural decoding systems

Video-based marker-free tracking and multi-scale analysis of mouse locomotor activity and behavioral aspects in an open field arena: A perspective approach to the quantification of complex gait disturbances associated with Alzheimer's disease

Fireworks explosion boosted Harris Hawks optimization for numerical optimization: Case of classifying the severity of COVID-19

An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms

Robin’s Viewer: Using deep-learning predictions to assist EEG annotation

2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data

bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease

Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients